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Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

business data  to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration if the quality of data is compromised. When embarking on a data warehousing or business intelligence project, Read More...
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » business data


The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

business data  constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. Read More...
Transactional Data: Driving Real-Time Business
A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business

business data  Data: Driving Real-Time Business A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More...
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

business data  systems. By doing so, business managers can be held accountable for data cleansing and quality management. The cost of high data quality is low, and the short- and long-term benefits are great. Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

business data  Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More...
SaaS Realities: Business Benefits for Small and Midsize Business
Software as a service (SaaS) is known for its relative speed to deployment and low up-front cost. Less well known are the business advantages of SaaS for

business data  Realities: Business Benefits for Small and Midsize Business Software as a service (SaaS) is known for its relative speed to deployment and low up-front cost. Less well known are the business advantages of SaaS for enterprise resource planning (ERP) solutions, especially for small and midsized businesses. Learn how a fully integrated SaaS solution can help you improve your business operations, as well as better meet the challenges of growth, competition, and regulatory compliance. Read More...
Bizagi BPM Suite 9.1 Business Process Management Product Certification Report
Bizagi BPM Suite 9.1 by Bizagi is now TEC Certified for online evaluation of business process management solutions in TEC's BPM Evaluation Center. The

business data  BPM Suite 9.1 Business Process Management Product Certification Report Bizagi BPM Suite 9.1 by Bizagi is now TEC Certified for online evaluation of business process management solutions in TEC's BPM Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for this BPM product's highlights, competitive analysis, product analysis, and in-depth BPM analyst Read More...
The New Business of Business Leaders: Talent Management
In this white paper, the role of business leaders in driving talent management functions is explored, with a particular focus on the tools and approaches that

business data  New Business of Business Leaders: Talent Management In this white paper, the role of business leaders in driving talent management functions is explored, with a particular focus on the tools and approaches that will make them successful. Read More...
Business Intelligence in SAP Business All-in-One: Improve Transparency and Agility
Business intelligence (BI) functionality can help your company gains visibility, insight, operational alignment, and accountability to increase revenue, margins

business data  Intelligence in SAP Business All-in-One: Improve Transparency and Agility Business intelligence (BI) functionality can help your company gains visibility, insight, operational alignment, and accountability to increase revenue, margins, and liquidity; streamline processes; improve agility; and become a best-run business. Find out more in this report about a preconfigured solution. Read More...
The Five Styles of Business Intelligence: Industrial-strength Business Intelligence
If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this framework can help. There’s a

business data  Five Styles of Business Intelligence: Industrial-strength Business Intelligence If you’re not on top of the range of business intelligence (BI) functionality that has evolved over the past 15 years, this framework can help. There’s a fundamental shortcoming in most BI tools today, as a single architecture cannot support the full range of BI functionality—leading to excessive costs, delays, and user dissatisfaction. Learn about a solution that covers the five different styles of BI functionality. Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

business data  of and engage both business units and IT teams.  Develop data governance expertise. Measure and plan carefully.  Think big, but start small. These steps will ensure 100 percent support from all levels of leadership and stakeholders. Note that the careful planning and charting of your program can be definitive in augmenting its chance of success. By addressing a set of small problems first, you can more reliably gauge the scope of your program.  A Final Word I concur with the view of Data Management Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

business data  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...
SaaS Realities-Business Benefits for Small and Midsized Business
Software as a service (SaaS) is a highly-touted model for acquiring, using, and paying for business functionality and is widely adopted for a variety of

business data  for Small and Midsized Business Software as a service (SaaS) is a highly-touted model for acquiring, using, and paying for business functionality and is widely adopted for a variety of business and information technology (IT) functions. This paper looks at advantages and business benefits—financial value, new technology, and improved operations—that SaaS provides to small and midsized businesses and shows research with small and midsized business users. Read More...
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

business data  between database products and business solutions products. IBS did not officially become Ascential until January 15, 2001. It was a circuitous process, but DataStage remains a market leader.) MetaRecon 2.5 also includes support for ETL products from Informatica . The latest development on the MetaRecon front is support for UNIX as a server platform (currently on Sun Solaris, HP/UX, and Linux, with the possibility of support for other UNIX variants based on customer demand). Since the back-end product was Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

business data  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...

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